In cellular networks, cells are grouped more densely around highly
populated areas to provide more capacity. Antennas are pointed in
accordance with local terrain and clutter to reduce signal shadows and
interference. Hardware parameters are easily set during installation but
difficult to change thereafter. In a dynamic environment of population
migration, there is need to continuously tune network parameters to
adapt the network performance. Modern mobile equipment logs network
usage patterns and statistics over time. This information can be used to
tune soft parameters of the network. These parameters may include
frequency channel assignment or reuse, and transmitter radiation power
assignment to provide more capacity on demand. The paper proposes that
by combining the frequency and power assignments, further optimisation
in resource allocation can be achieved over a traditional frequency
assignment. The solution considers the interference, traffic intensity
and use of priority flags to bias some edges. An Edge Weight Power and
Frequency Assignment Algorithm is presented to solve the resource
allocation problem in cellular networks. The paper also analyses the
performance improvements obtained over that of the Edge Weight Frequency
Assignment Algorithm. The results show that the proposed algorithm
improves the performance of the Edge Weight Frequency Assignment
Algorithm depending on the initial structure of the graph.